Train Dense Passage Retriever (DPR) with a single GPU
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Updated
Jun 16, 2021 - Python
Train Dense Passage Retriever (DPR) with a single GPU
SIGIR 2021: Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling
Establishing Strong Baselines for TripClick Health Retrieval; ECIR 2022
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.
EMNLP 2021 - Pre-training architectures for dense retrieval
WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
Code and created datasets for our ACL 2022 paper: "Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations"
CIKM 2022: Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models
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SIGIR'2022, Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction
Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
[SIGIR 2022] Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
Dual Cross Encoder for Dense Retrieval
An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.
Code for the paper: Modular Retrieval for Generalization and Interpretation.
Code for the ACL 2023 long paper - Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).
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